Semi Senior Data Scientist

The Semi Senior Data Scientist will help develop solutions for digital marketing use cases using statistical, data mining methods and data engineering solutions, working closely with our Analytics, Media Account Management, and Solutions Engineering teams. The semi senior data scientist should be a data specialist with some experience in the deployment of propensity modeling, clustering analysis, churn analysis, product recommender systems and descriptive analytics. The candidate can expect to participate in all technical phases of internal research & development and client projects, including data discovery, data engineering, model development and/or data mining and evaluating options. It is also expected some participation in the organizational phases of projects such as project definition, tasks planning and estimation, making recommendations for the client.

Responsibilities

• Nurture client understanding of the importance of building & testing data-driven strategies. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Use statistical analysis and machine learning libraries (R Stats, Python StatsModels, scikit-learn, etc.) to create models that quantify the influence of online activities on offline conversions.
• Deploy cloud resources (Microsoft Azure, AWS, GCP or other) to perform analysis on large data sets.
• Create ML pipelines models from data-wrangling to getting it into production.
• Utilize data visualization techniques to explain data and models to clients and internal teams (Power BI, Tableau, Looker, etc.).
• Mine data to support analytical projects and prepare data to support the development of information models to prove or disprove project hypotheses.
• Design and manage experiments to ensure proper execution, data cleanliness, and statistical significance of results.
• Act as a consultative resource to help clients understand the quality of their internal testing processes.
  
  
  

Qualifications

• Educational background in Computer Systems, Mathematics, Statistics or Physics
• Proven experience articulating, translating, and solving business problems through data.
• Work experience in cloud vendors (GCP, AWS, Azure).
• 2+ years of experience in data science (statistical modeling, machine learning for forecasting, classification and optimization)
• Experience analyzing large data sets with the Python or R data ecosystem.
• Experience using large databases (SQL, Snowflake, BigQuery or similar).
• Experience using Power BI, Tableau, Looker, or similar.
• Experience leveraging digital analytics (Google/Adobe Analytics) and measurement solutions data in the digital advertising industry.
• Willingness to both teach others and learn new techniques.
• Advanced English communication skills. This will be tested during the selection process
  
  
  

Preferred Qualifications

• A set of certifications or work experience in another cloud vendor (GCP, AWS, Azure).
• Hands-on experience in model deployment, governance, and workflow optimization (MLOps).
• Hands-on experience with cloud orchestration tooling, infrastructure-as-a-code.
• Hands-on experience building scalable ETL pipelines (Apache Beam, Airflow, Cloud Composer, Cloud Functions, Pub/Sub).
• Ability to explain the analytical methods and results to non-technical stakeholders to drive data-driven decision making.
  
  
  

About Monks

Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI—managed by the industry’s best and most diverse digital talent—to help the world’s trailblazing companies outmaneuver and outpace their competition.

Monks was named a Contender in The Forrester Wave™: Global Marketing Services. It has remained a constant presence on Adweek’s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger’s Programmatic Power Players list every year (2020-24). In addition to being named Adweek’s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek’s Top 100 Global Most Loved Workplaces 2023.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.

While we continue to grow our teams, please be mindful of fraudulent job postings and recruiting activities that may use our company name and information. Please be mindful to protect your personal information, especially your national identification number, and bank account information during a recruiting process. While Monks may reach out to potential candidates via LinkedIn, we will always ask applicants to apply through our website (https://monks.com/careers) and will never ask for payment or bank account information during the recruitment process.